sensitivity-of-modeled-snow-instability

maintainer: Bettina Richter

title_for_slug: sensitivity-of-modeled-snow-instability

en: numerical-avalanche-forecasting snowpack snow-instability snow-cover-modeling global-sensitivity-analysis

en: Case WL

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the period of weak layer formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Case ALL

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the whole simulation period. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Manually observed snow profiles

en: Manually observed snow profiles at Weissfluhjoch field site for winter season 2016-2017, including layer depth, hand hardness, grain size and grain shape for each layer.

en: Case SL

en: Extracted output data for case SL. Here biases were introduced to meteorological input data during the period of slab formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Reference run

en: Reference run for the sensitivity analysis at Weissfluhjoch field site for winter season 2016-2017. Meteorological data from the automatic weather stations are used. No biases were introduced to the input data.

en: We investigated the sensitivity of modeled snow instability to meteorological input data using SNOWPACK. We therefore used input data from the automatic weather station at the Weissfluhjoch field site for the year 2016-2017. We investigated three scenarios and performed 14'000 simulations for each scenario. The dataset contains extracted output data from modeled SNOWPACK simulations, including setup files to reproduce the simulations. For further information read the README file.

global-sensitivity-analysis

display_name: global-sensitivity-analysis

numerical-avalanche-forecasting

display_name: numerical-avalanche-forecasting

snow-cover-modeling

display_name: snow-cover-modeling

snow-instability

display_name: snow-instability

snowpack

display_name: snowpack

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Sensitivity of modeled snow instability


en: relief plant-biodiversity tectonic-faults endemism climate-history

state: active

type: dataset

media_type: application/zip

format: ZIP

en:
This dataset includes geomorphic predictors and plant biodiversity patterns in the Hengduan Mountains, published in the Geological Society of London special volume: Asian Geodynamics, Climate and Biodiversity (https://doi.org/10.1144/SP549-2024-17).
The geomorphic predictors include catchment-restricted relief and chi maps, while the climate predictors comprise site water balance, growing degree days, and climate change velocity from the Last Glacial Maximum (LGM) to the present.
The plant biodiversity patterns are represented by a plant richness map for 13,321 species in the Hengduan Mountains. Species-level plant range maps are available in the dataset, previously published under DOI: 10.16904/envidat.424.

climate-history

display_name: climate-history

endemism

display_name: endemism

plant-biodiversity

display_name: plant-biodiversity

relief

display_name: relief

tectonic-faults

display_name: tectonic-faults

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

it: EnviDat: il portale dei dati ambientali

fr: EnviDat est le portail de données du WSL; il offre un accès uniformisé et réglementé aux données de surveillance et de recherche en matière d’environnement. Ce portail est capable d’héberger et de publier des ensembles de données précieuses et uniques, qui sont partagées aux quatre coins de la planète. Ce faisant, EnviDat favorise la recherche et contribue à l’avancement des sciences environnementales.

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

it: EnviDat è il portale dati del WSL che fornisce un accesso unificato e gestito ai dati di monitoraggio ambientale e di ricerca. Il portale ha la capacità di ospitare e pubblicare serie di dati preziosi e unici che vengono condivisi in tutto il mondo. Così facendo, EnviDat promuove la ricerca e contribuisce al progresso della scienza ambientale.

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: Tectonic and climatic controls on plant biodiversity in the Hengduan Mountains China


data-konzeptionelles-systemmodell

title_for_slug: data-konzeptionelles-systemmodell

en: policy-action qualitative-research landscape-change climate-change scenarios

media_type: application/pdf

format: PDF

format: XLS

en:
This folder contains documents relevant to the project step Konzeptionelles Systemmodell. It specifically contains the following documents:

1. 0201_Konzeptionelles Systemmodell_20221027: This document is the final version of the Konzeptionelles Systemmodell. The underlying structure of the Konzeptionelles Systemmodell is explained in chapter 4.4 of the document 0202_Masterarbeit Elena Siegrist_UniBern_Herbstsemester 2022 also deposited in this folder. The document contains 3 sheets. The sheet "Bausteine" shows the different possible options for table columns of the type Bausteine (see chapter 4.4 of Masterarbeit), the sheet "Direkte Effekte" contains identified direct impact pathways and the sheet "Indirekte Effekte" contains identified indirect impact pathways.

2. 0202_Masterarbeit Elena Siegrist_UniBern_Herbstsemester 2022: This document is the Master Thesis of Elena Grace Siegrist submitted to and accepted by the University of Bern in the Autumn Semester 2022. Chapter 4.4 of the document explains the underlying structure of the Konzeptionelles Systemmodell.

3. 0203_Literaturverzeichnis_konzeptionelles Systemmodell_20221026: This document lists all literature and documents cited in the Konzeptionelle Systemmodell.

climate-change

display_name: climate-change

landscape-change

display_name: landscape-change

policy-action

display_name: policy-action

qualitative-research

display_name: qualitative-research

scenarios

display_name: scenarios

en: Data Konzeptionelles Systemmodell


modeling-snow-failure-with-dem

maintainer: EnviDat Support

title_for_slug: modeling-snow-failure-with-dem

en: discrete-element-modelling snow snow-micro-mechanics snow-failure snow-avalanche

en: Dataset

en: The zip file contains the data underlying the figures presented in Bobillier et al. (2019). The figures can be reproduced with the python file, which is also provided.

mimetype: application/zip

en: Read-me

en: The read-me file contains a description of all the data provided in the zip file.

mimetype: application/pdf

en: Python file

en: Python file to reproduce the figures in Bobillier et al. (2019)

format: SERVICE

mimetype: text/x-python

en: This data set includes the modeling results described in the research article by Bobiller et al. (2020). All the figures in the article can be reproduced with the data provided.

discrete-element-modelling

display_name: discrete-element-modelling

snow

display_name: snow

snow-avalanche

display_name: snow-avalanche

snow-failure

display_name: snow-failure

snow-micro-mechanics

display_name: snow-micro-mechanics

en: Modeling snow failure with DEM


maintainer: Yohann Chauvier

en: point-process-model cluster independent-dataset survey-effort plant-species background-data environmental-stratification random-stratified-sampling covariate-correction target-group

en: Non-copyright data, scripts, diversity outputs

en:
Aim: While species distribution models (SDMs) are standard tools to predict species distributions, they can suffer from observation and sampling biases, particularly presence-only SDMs that often rely on species observations from non-standardized sampling efforts. To address this issue, sampling background points with a target-group strategy is commonly used, although more robust strategies and refinements could be implemented. Here, we exploited a dataset of plant species from the European Alps to propose and demonstrate efficient ways to correct for observer and sampling bias in presence-only models.

Innovation: Recent methods correct for observer bias by using covariates related to accessibility in model calibrations (classic bias covariate correction, Classic-BCC). However, depending on how species are sampled, accessibility covariates may not sufficiently capture observer bias. Here, we introduced BCCs more directly related to sampling effort, as well as a novel corrective method based on stratified resampling of the observational dataset before model calibration (environmental bias correction, EBC). We compared, individually and jointly, the effect of EBC and different BCC strategies, when modelling the distributions of 1’900 plant species. We evaluated model performance with spatial block split-sampling and independent test data, and assessed the accuracy of plant diversity predictions across the European Alps.

Main conclusions: Implementing EBC with BCC showed best results for every evaluation method. Particularly, adding the observation density of a target group as bias covariate (Target-BCC) displayed most realistic modelled species distributions, with a clear positive correlation (r≃0.5) found between predicted and expert-based species richness. Although EBC must be carefully implemented in a species-specific manner, such limitations may be addressed via automated diagnostics included in a provided R function. Implementing EBC and bias covariate correction together may allow future studies to address efficiently observer bias in presence-only models, and overcome the standard need of an independent test dataset for model evaluation.

background-data

display_name: background-data

cluster

display_name: cluster

covariate-correction

display_name: covariate-correction

environmental-stratification

display_name: environmental-stratification

independent-dataset

display_name: independent-dataset

plant-species

display_name: plant-species

point-process-model

display_name: point-process-model

random-stratified-sampling

display_name: random-stratified-sampling

survey-effort

display_name: survey-effort

target-group

display_name: target-group

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Novel methods to correct for observer and sampling bias in presence-only species distribution models


maintainer: Armin Sigmund

en: evaporation snow-sublimation stable-water-isotopes isotopic-distillation backward-trajectories antarctica lagrangian-analysis

en: Readme

media_type: text/plain

en: Meta data

format: TXT

en: Model code

en: Model Sublimation and Model Air Parcel (python scripts)

en: Data

en: Modeled data including the data shown in the figures of the related research article

en: Python scripts for data visualization

en: Scripts for generating the figures of the related research article and generating the data files (csv) from the model output

en:
 Summary

This data set contains Python programming code and modeled data discussed in a related research article. We developed a simple isotope model to study the drivers of the particularly depleted vapour isotopic composition measured on the ship of the Antarctic Circumnavigation Expedition close to the outlet of the Mertz glacier, East Antarctica, in the 6-day period from 27 January 2017 to 1 February 2017. The model considers the stable water isotopologues H2(16O), H2(18O), and HD(16O). It uses data from the ERA5 reanalysis product with a spatial resolution of 0.25° x 0.25° (Hersbach et al., 2018) and 10-day backward trajectories for the location of the ship, published by Thurnherr et al. (2020a). Our data set includes the model code, Python scripts for visualizing the results, and data produced by the model including the results shown in the figures of the related research article. Here, we summarize the most important model characteristics while further details can be found in the readme.txt file and the related research article including its supporting information.

 Main model characteristics

The modeling approach consists of two steps called *Model Sublimation* and *Model Air Parcel*. The former estimates the isotopic compositions of the snow and sublimation flux across the Antarctic Ice Sheet using an Eulerian frame of reference while the latter models the vapour isotopic composition and specific humidity along air parcel trajectories using a Lagrangian frame of reference. The isotope effects of most phase changes are represented by equilibrium fractionation. Only for ocean evaporation, kinetic fractionation is additionally taken into account (original Craig-Gordon formula). For snow sublimation, two assumptions are tested: *Run E* assumes that sublimation is associated with equilibrium fractionation while *Run N* assumes that sublimation occurs without isotopic fractionation.

 Model Sublimation
Model Sublimation uses a simple one-dimensional mass-balance approach in each grid cell, considering snow accumulation due to snowfall and vapour deposition and snow ablation due to sublimation. The snowpack is represented by 100 layers of equal thickness (e.g., 1 cm) and density (350 kg m-3). The isotopic composition of snowfall is parameterized by generalizing a site-specific, empirical relationship between the daily mean air temperature and snowfall isotopic composition. In the case of vapour deposition, Model Sublimation assumes equilibrium fractionation and estimates the isotopic composition of the atmospheric vapour as the average value for two idealized situations: (i) locally sourced vapour which has the same isotopic composition as the sublimation flux; (ii) non-locally sourced vapour in isotopic equilibrium with snowfall. Model Sublimation is run with a time step of 1 h, independently of Model Air Parcel.

 Model Air Parcel
Every hour, an ensemble of trajectories arrives at different heights in the ABL above the ship. For each of these trajectories, we consider an air parcel with a constant volume of 1 x 1 x 1 m3. The air parcels are initialized at the first suitable time when the trajectories are located in the ABL, either over the ice-free ocean in conditions of evaporation or over snow (Antarctic Ice Sheet or sea ice). Subsequently, the masses of the water isotopologues in the air parcels are simulated with a time step of 3 h, considering vapour uptake or removal due to the moisture flux at the snow or liquid ocean surface (only if the parcel is in the ABL) and cloud/precipitation formation (if the saturation specific humidity is reached). Sea ice is taken into account in a very simplified way. We represent the sea ice by grid cells with a sea-ice cover of more than 90% and assume the isotopic composition of the sublimation flux to be identical to that in the nearest grid cell of the Antarctic Ice Sheet. The isotopic composition of the sublimation flux is taken from Model Sublimation whereas the isotopic composition of the vapour deposition flux (over snow) and condensation flux (over ice-free ocean) is simulated assuming an isotopic equilibrium with the air parcel. Isotope effects of cloud/precipitation formation are represented using the classic Rayleigh distillation model with equilibrium fractionation, where the cloud water is assumed to precipitate immediately after formation.

 References

Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horanyi, A., Munoz Sabater, J.,... others (2018). *ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS)*. doi: 10.24381/cds.bd0915c6

Thurnherr, I., Wernli, H., & Aemisegger, F. (2020a). *10-day backward trajectories from ECMWF analysis data along the ship track of the Antarctic Circumnavigation Expedition in austral summer 2016/2017*. Zenodo. doi: 10.5281/zenodo.4031705

antarctica

display_name: antarctica

backward-trajectories

display_name: backward-trajectories

evaporation

display_name: evaporation

isotopic-distillation

display_name: isotopic-distillation

lagrangian-analysis

display_name: lagrangian-analysis

snow-sublimation

display_name: snow-sublimation

stable-water-isotopes

display_name: stable-water-isotopes

en: Modeled Isotopic Composition of Water Vapour Along Air Parcel Trajectories in the Antarctic


maintainer: Giulia Francesca Azzurra Donati

en: integrated-modelling ecological-corridors circuit-theory human-dominated-landscapes urban-spatial-planning biodiversity

en: Amphibian breeding sites of national importance - cantons of Aargau and Zürich

en: Amphibian breeding sites of national importance (focal nodes) in the cantons of Aargau and Zürich, 30x30 m resolution, binarised ascii format.

en: Amphibian monitoring data

en: Processed amphibian occurrence data (2017-2019) in the cantons of Aargau and Zürich. The dataset includes information for the following species: _Alytes obstetricans_,_Bombina variegata_, _Bufo bufo_, _Hyla arborea_, _Ichtyosaura alpestris_, _Lissotriton helveticus_, _Lissotriton vulgaris_, _Rana temporaria_, _Salamandra salamandra_, and _Triturus cristatus_.

en: Amphibian whole life cycle predictors - 10m resolution

en:
Amphibian whole life cycle predictors include 6 variable types:
(1)	Topographic – slope [°]: derived from the Swiss Topographical Landscape model (swissTLM 3D 2015) at 2 m resolution (elevation uncertainty ± 0.5m) and, subsequently, aggregated to a median value;
(2)	Hydrologic: two predictors including nearest distance to water [m] (all water-related objects and rasterized lotic, lentic and reedbeds from the regional cadastral maps – AV: Daten der Amtliche Vermessung) and runoff coefficient [C] (between 0 and 1 relating amount of runoff to amount of precipitation, mapped AV: Daten der Amtliche Vermessung data against literature values for different land covers);
(3)	Edaphic – soil moisture variability (not available): can gathered from the spatial modelling of Ecological Indicator Values in Switzerland (Descombes et al., 2020) and resampled from 100m to 10m;
(4)	Vegetation: we calculated the median and standard deviation of the Normalized Difference Vegetation Index (NDVI) from all available cloud free Sentinel-2 pixels available between April and October for the years 2016 to 2019 (Drusch et al., 2012) and the median vegetation height [m] (not available) can gathered from Ginzler and Hobi (2015);
(5)	Land-use derived: includes three predictors, grassland density [grassland/cell] (not available) - can be gathered from Pazur et al. (2021), total grasslands area evaluated using a spatial weight matrix and a 250m neighborhood radius around each cell; urbanization [buildings/cell] – average building density for a 250m neighborhood around each cell based on the AV: Daten der Amtliche Vermessung ; and traffic intensity [vehicles/day] – average daily vehicle count (Nationales Personenverkehrsmodells);
(6)	Movement-ecology related: includes three predictors of proximity – nearest forest distance [m]; nearest rock-gravel and sandy area (RGS) distance [m] and nearest road distance [m] (considering any road type) – all calculated based on the AV: Daten der Amtliche Vermessung maps.

en: Amphibian species specific landscape resistance maps.

en: For each amphibian species we used the weighted average Ensemble model suitability map and converted it to a resistance map using an exponential decay function following (Duflot et al., 2018) using the species-specific mpa threshold previously computed (Preau et al., 2020). The function assigns a resistance value of 1,000 when habitat suitability equals zero, and a value of one when habitat suitability is greater than or equal to the binarization threshold. The exponential shape strengthens the barrier effect of less favorable areas.

en: Binarized "green" and "grey" landcover data (Cantons of Aargau and Zürich)

en: "Green" landcover refers to lawns and vegetated urban surfaces such as, for example private gardens, public parks, cemeteries, green stripes along roadsides, etc. While "grey" landcover refers to impervious grounds such as roads, troittoirs, other impervious. Binarized maps, 30x30m resolution.

en: The data includes (1) amphibian occurrence data (2017-2019) for ten species across the cantons of Aargau and Zürich gathered from the Coordination Center for the Protection of Amphibians and Reptiles of Switzerland (http://www.karch.ch), (2) amphibian whole-life cycle environmental predictors (i.e. topographic, hydrologic, edaphic, vegetation, land-use derived, movement-ecology related), and (3) local urban "green" and "grey" landcover data which can be used to identify opportunities for Blue-Green Infrastructure (through green or grey transitions) in support of regional landscape connectivity.

biodiversity

display_name: biodiversity

circuit-theory

display_name: circuit-theory

ecological-corridors

display_name: ecological-corridors

human-dominated-landscapes

display_name: human-dominated-landscapes

integrated-modelling

display_name: integrated-modelling

urban-spatial-planning

display_name: urban-spatial-planning

en: Amphibian and urban-rural landscape data Swiss Lowlands


en: afforestation reproductive-matieral genetic-structure pinus-cembra molecular-markers

media_type: text/csv

format: CSV

en: metadata and description of dataset

en: The dataset contains individual genotypes at 11 nuclear microsatellite markers of samples of Swiss stone pine (*Pinus cembra*). Samples were collected in 12 natural and presumably planted stands in the canton of Fribourg (Switzerland). The dataset is complemented by individual genotypes (same markers) from samples of a subset of 40 populations across the European Alps (taken from Gugerli et al., Journal of Biogeography 2023; https://doi.org/10.1111/jbi.14586; dataset archived at Dryad, https://doi.org/10.5061/dryad.866t1g1v6).

afforestation

display_name: afforestation

genetic-structure

display_name: genetic-structure

molecular-markers

display_name: molecular-markers

pinus-cembra

display_name: pinus-cembra

reproductive-matieral

display_name: reproductive-matieral

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Nuclear microsatellite genotypes of Pinus cembra


en: total-number pmcamx-uf modeling nucleation cloud-droplets

en: data_JRL_New particle formation events can reduce cloud droplets in boundary layer clouds at the continental scale.Paper_2023GL106182.zip

en: This repository contains PMCMx-UF model outputs used for the paper: D. Patoulias K. Florou S. N. Pandis and A. Nenes: New particle formation events can reduce cloud droplets in boundary layer clouds at the continental scale, Geophysical Research Letters, in review, 2023.

cloud-droplets

display_name: cloud-droplets

modeling

display_name: modeling

nucleation

display_name: nucleation

pmcamx-uf

display_name: pmcamx-uf

total-number

display_name: total-number

en: Dataset for the publication New particle formation events can reduce cloud droplets in boundary layer clouds at the continental scale


en: snow hazard-mapping satellite avalanche natural-hazard

en: SPOT6 Avalanche outlines 24 January 2018

en: Shapefile of the manually mapped avalanche outlines. Please only use this data together with the example key document provided with this dataset.

format: SHP

en:
Outlines of 18'737 avalanches mapped from SPOT6 satellite data over the Swiss Alps on 24 January 2018. The outlines have different attributes described in the data example key (ExampleKey_AvalMapping.pdf)

The generation of the data is described in:

Bühler, Y., E. D. Hafner, B. Zweifel, M. Zesiger, and H. Heisig (2019), Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps, The Cryosphere, 13(12), 3225-3238, doi:10.5194/tc-13-3225-2019.

Abstract.
Accurate and timely information on avalanche occurrence are key for avalanche warning, crisis management and avalanche documentation. Today such information is mainly available at isolated locations provided by observers in the field. The achieved reliability considering accuracy, completeness and reliability of the reported avalanche events is limited. In this study we present the spatial continuous mapping of a large avalanche period in January 2018 covering the majority of the Swiss Alps (12’500 km2).

We tested different satellite sensors available for rapid mapping during a first avalanche period. Based on these experiences, we tasked SPOT6/7 data for data acquisition to cover the second, much larger avalanche period. We manually mapped the outlines of 18’737 individual avalanche events, applying image enhancement techniques to analyze regions in cast shadow as well as brightly illuminated ones. The resulting dataset of mapped avalanche outlines, having a unique completeness and reliability, is evaluated to produce maps of avalanche occurrence and avalanche size. We validated the mapping of the avalanche outlines using photographs acquired from helicopters just after the avalanche period.

This study demonstrates the applicability of optical, very high spatial resolution satellite data to map an exceptional avalanche period with very high completeness, accuracy and reliability over a large region. The generated avalanche data is of great value to validate avalanche bulletins, complete existing avalanche databases and for research applications by enabling meaningful statistics on important avalanche parameters.

Koordinate System: CH1903+ LV95 LN02

avalanche

display_name: avalanche

hazard-mapping

display_name: hazard-mapping

natural-hazard

display_name: natural-hazard

satellite

display_name: satellite

snow

display_name: snow


en: pinus-sylvestris dendrochronology pfynwald isotopes tree-rings scots-pine tree-ring-cellulose

en: Isotope measurements of tree-level tissues for the vegetative season 2019.

en: Read me file.docx

en:
Data from a 17-year-long irrigation experiment (Pfynwald, Switzerland) in a naturally dry forest dominated by 100-year-old pine trees (Pinus sylvestris). This dataset includes measure tree-ring width and tree-ring isotope chronologies (stable isotope ratios of non-exchangeable hydrogen δ2H, oxygen δ18O, and carbon δ13C), for the Pfynwald experiment, including control trees, irrigation and irrigation-stop treatments until the year 2019.

This dataset contains all data on which the following publication below is based.
Please cite this paper together with the citation for the datafile.

dendrochronology

display_name: dendrochronology

isotopes

display_name: isotopes

pfynwald

display_name: pfynwald

pinus-sylvestris

display_name: pinus-sylvestris

scots-pine

display_name: scots-pine

tree-ring-cellulose

display_name: tree-ring-cellulose

tree-rings

display_name: tree-rings

en: Pfynwald 2019 - Dendrochronological and tree-ring isotope dataset


maintainer: Lisa Hülsmann

en: forest-reserves inventory-data tree-mortality empirical-mortality-models tree-growth

en: Calibration data

en:
A set of three consecutive inventories was used to generate records for the calibration of mortality models based on trees that were alive in the first and second inventory and either dead or alive in the third inventory.

 Meta data
Reserve: Name of the forest reserve

Plot: Permanent plot number

 Tree data
Species: Latin species name (or species group, cf. _Quercus_ spp.)

y: Status of the tree with 0 = alive and 1 = dead

dt: Length of the mortality period (years)

DBH: Diameter at breast height (mm) of the second inventory

relBAI: Annual relative basal area increment (-) calculated based on the first and the second DBH measurement as the compound annual growth rate of the trees basal area

 Stand data
_All stand variables were calculated for the second inventory._

mDBH: Mean diameter at breast height (mm)

iqrDBH: Interquartile range of diameter at breast height (mm)

BA: Basal area per hectare (m2 ha-1)

N: Number of trees per hectare (ha-1)

 Climate data
_Both climate variables were calculated for the period between the second and the third inventory._

P: Mean annual precipitation sum (mm)

mT: Mean annual air temperature (°C)

mimetype: text/csv

en:
The dataset comprises > 90 000 records from inventories in 54 strict forest reserves in [Switzerland](https://www.wsl.ch/de/wald/biodiversitaet-naturschutz-urwald/naturwaldreservate.html) and [Lower Saxony / Germany](http://naturwaelder.de/) along a considerable environmental gradient. It was used to develop parsimonious, species-specific mortality models for 18 European tree species based on tree size and growth as well as additional covariates on stand structure and climate.

 Inventory data
Measurements had been conducted repeatedly on up to 14 permanent plots per reserve for up to 60 years with re-measurement intervals of 4 - 27 years. The permanent plots vary in size between 0.03 and 3.47 ha. The inventories provide diameter measurements at breast height (DBH) and information on the species and status (alive or dead) of trees with DBH ≥ 4 cm for Switzerland and ≥ 7 cm for Germany.

 Data selection
We excluded three permanent plots where at least 80 % of the trees died during an interval of 10 years, and mortality could be clearly assigned to a disturbance agent. Mortality in the remaining stands was rather low, with a mean annual mortality rate of 1.5 % and strong variation between plots from 0 to 6.5 % (assessed for trees of all species with DBH ≥ 7 cm).
We only used data from permanent plots with at least 20 trees per species to obtain reliable plot-level mortality rates even for species with low mortality rates (about 5 % during 10 years), and selected tree species occurring on at least 10 plots to cover sufficient ecological gradients. This led to a dataset of 197 permanent plots and 18 tree or shrub species: _Abies alba_ Mill., _Acer campestre_ L., _Acer pseudoplatanus_ L., _Alnus incana_ Moench., _Betula pendula_ Roth, _Carpinus betulus_ L., _Cornus mas_ L., _Corylus avellana_ L., _Fagus sylvatica_ L., _Fraxinus excelsior_ L., _Picea abies_ (L.) Karst, _Pinus mugo_ Turra, _Pinus sylvestris_ L., _Quercus pubescens_ Willd., _Quercus_ spp. (_Q. petraea_ Liebl. and _Q. robur_ L.; not properly differentiated in the Swiss inventories), _Sorbus aria_ Crantz, _Tilia cordata_ Mill. and _Ulmus glabra_ Huds..

 Predictors of tree mortality
We considered tree size and growth as key indicators for mortality risk. Radial stem growth between the first and second inventory and DBH at the second inventory were used to predict tree status (alive or dead) at the third inventory. To this end, the annual relative basal area increment (relBAI) was calculated as the compound annual growth rate of the trees basal area. Additional covariates on stand structure and climate comprise mean annual precipitation sum (P), mean annual air temperature (mT), the mean and the interquartile range of DBH (mDBH, iqrDBH), basal area (BA) and the number of trees (N) per hectare.

 Further information
For further information, refer to Hülsmann _et al_. (in press) How to kill a tree – Empirical mortality models for eighteen species and their performance in a dynamic forest model. _Ecological Applications_.

empirical-mortality-models

display_name: empirical-mortality-models

forest-reserves

display_name: forest-reserves

inventory-data

display_name: inventory-data

tree-growth

display_name: tree-growth

tree-mortality

display_name: tree-mortality

educ

en: Education, culture and sport

en: Calibration data for empirical mortality models of 18 European tree species


en: bryophytes garten flechten bryolich moose lichens diversitat

en: Im Rahmen des Bryolich-Projekts “Moose und Flechten in Gärten” wurden möglichst vollständige Artenlisten von Moosen und Flechten in 26 bzw. 7 Gärten um Wohnhäuser erstellt. In 5 dieser Gärten wurden beide Artengruppen erfasst. Zusätzlich wurden Informationen über unterschiedliche Lebensräume innerhalb der Gärten (z.B. Fläche mit Gehölzen, Fläche von Blumenbeeten) und weitere Garten-Charakteristika (z.B. Fläche des Gartens, Alter des Gartens, Einsatz von Dünger) erfasst. Details zum Projekt und den erfassten Daten können im zugehörigen Artikel (Bergamini et al. 2024) und auf der Webseite von Bryolich gefunden werden (https://www.bryolich.ch/mfig/mfig_de.html).

bryolich

display_name: bryolich

bryophytes

display_name: bryophytes

diversitat

display_name: diversitat

flechten

display_name: flechten

garten

display_name: garten

lichens

display_name: lichens

moose

display_name: moose

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Daten Bryolich-Projekt Moose und Flechten in Gärten


en: drosophila-suzukii switzerland biological-control simple-sequence-repeats multilocus-genotypes trichopria-drosophilae population-genetics nuclear-microsatellite-markers

en: Table comprising all pertinent information for multiplex PCRs of species-specific nuclear microsatellite makers for Trichopria drosophilae, comprising all 21 newly developed markers, details on full sequences with GenBank accession numbers, primer sequences (including labeling and pig-tails), and repeat motives. PCRs with respective annealing temperatures (AnnealingTemp) refer to Type-It Multiplex PCR Kit (Qiagen, Hilden, Germany).

en: Multilocus genotypes (biallelic coding for 21 nuclear microsatellites) of Trichopria drosophilae described in Gugerli et al. Agrarforschung Schweiz 2019. Missing data denoted as '999'. Population codes (PopNo) are the following: 1, Vezia; 3, Contone ; 5, Davesco; 6, Corteglia; 7, Mezzana; 8, Stabio; 9, Gordola; 10, Sementina; 12, Brusata di Novazzano; 14, Monteggio; 16, Giubiasco; 17, ComoBP; 18, VD; 19, Weil_D; 20, Dossenheim; 21, BioPlanet_Como. Coordinates (CoordCH_E, CoordCH_N) refer to the Swiss coordinates system CH1903.

en:
 Nuclear microsatellite markers and genotype data for _Trichopria ddrosophilae_

This data set comprises (i) the characteristics of a set of 21 species-specific nuclear microsatellites for PCR amplification in _Trichopria drosophilae_ (ii) and genotype data for samples collected in southern Switzerland (Canton of Ticino), with few reference samples from Canton of Vaud, southern Germany, and northern Italy (lab-reared population).
Markers were developed by Ecogenics GmbH, Balgach (Switzerland), using MiSeq Nano 2x250 v2 format (on a mix of 10 individuals). Multiplex PCR assays for multilocus genotyping were established by Ecological Genetics (WSL Birmensdorf), and population genetic analyses are found in Gugerli et al., Agrarforschung Schweiz 2019.

biological-control

display_name: biological-control

drosophila-suzukii

display_name: drosophila-suzukii

multilocus-genotypes

display_name: multilocus-genotypes

nuclear-microsatellite-markers

display_name: nuclear-microsatellite-markers

population-genetics

display_name: population-genetics

simple-sequence-repeats

display_name: simple-sequence-repeats

switzerland

display_name: switzerland

trichopria-drosophilae

display_name: trichopria-drosophilae

en: Nuclear microsatellite markers for Trichopria drosophilae, parasitoid wasp on Drosophila suzukii


en: mars sediment-transport erosion snow model

en: Datasets of Figure 3b

mimetype: text/plain

en: Datasets of Figure 2

en: Datasets of Figure 4a

en: Datasets of Figure 4b

en: Datasets of Figure 3a

en:
The files contain the datasets used to produce Figures 2, 3, and 4 of the manuscript ([doi: 10.1002/2016GL071822](http://dx.doi.org/10.1002/2016GL071822)).

 Manuscript Abstract:
Despite being the main sediment entrainment mechanism in aeolian transport, granular splash is still poorly understood. We provide a deeper insight into the dynamics of sand and snow ejection with a stochastic model derived from the energy and momentum conservation laws. Our analysis highlights that the ejection regime of uniform sand is inherently different from that of heterogeneous sand. Moreover, we show that cohesive snow presents a mixed ejection regime, statistically controlled either by energy or momentum conservation depending on the impact velocity. The proposed formulation can provide a solid base for granular splash simulations in saltation models, leading to more reliable assessments of aeolian transport on Earth and Mars.

erosion

display_name: erosion

mars

display_name: mars

model

display_name: model

sediment-transport

display_name: sediment-transport

snow

display_name: snow

en: Energy- and momentum-conserving model of splash entrainment in sand and snow saltation


tree-ring-laser-ablation-data

maintainer: Paula Ballikaya

title_for_slug: tree-ring-laser-ablation-data

en: laser-ablation dendrochronology air-pollution tree-rings dendrochemistry

en: Laser ablation data

en:
This dataset contains the values of several chemical elements (Mg, Al, Si, S, K, Ca, Ti, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Sr, Tl, Pb, Bi) measured in the latewood of tree rings of Mongolian oak from Harbin, China, at a 5-year resolution. Due to the lack of a suitable reference material for wood, absolute concentration was not calculated, and the ratio between the chemical element and 13C was taken as proxy for the element signal.

In Harbin, one of the largest cities and most important industrial centers in northeastern China, air quality monitoring systems were built only by the end of 2015 to meet the national requirements. Thus, dendrochemical analyses could be used as a tool to complement for the lack of air quality data over longer periods of time, allowing for the reconstruction of the temporal trend of trace metals. Our main scopes were to: (a) assess the chemical composition of Quercus mongolica Fisch. ex Ledeb. tree rings from Harbin using a recently developed system of laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS), (b) identify the main chemical elements which
derived from air pollution and may be used as indicators over the period 1965–2020 in Harbin, while excluding those that were controlled by physiological processes in the tree, and (c) reconstruct the history of pollution in Harbin by comparing the tree-ring chemical composition of recent decades with that of previous decades, in trees growing in the highly polluted city of Harbin and in trees growing in a control site 90 km away from major pollution sources.

Briefly, the temporal trend of some elements was influenced by physiological factors, by environmental factors such as pollution, or influenced by both. Mg, K, Zn, Cu, Ni, Pb, As, Sr and Tl showed changes in pollution levels over time.

air-pollution

display_name: air-pollution

dendrochemistry

display_name: dendrochemistry

dendrochronology

display_name: dendrochronology

laser-ablation

display_name: laser-ablation

tree-rings

display_name: tree-rings

educ

en: Education, culture and sport

en: Tree-ring laser ablation data


maintainer: Jonas Stillhard

en: carpathian-biosphere-reserve forest forest-structure long-term-data-sets primeval-beech-forest stand-inventory-data dem permanent-forest-plot-data forest-dynamics fagus-sylvatica

en: Dataset

en: Data description

en: Available online on publishers website

en:
In 2000, a permanent forest plot of 10 ha has been established in the core zone of the primeval beech forest of Uholka.
 All living and dead trees with a diameter at breast height (DBH) ≥ 60 mm were identified to species, DBH measured, stems tagged and mapped.
Since then, the plot has been remeasured in 2005, 2010, and 2015. In total, 4,820 individual trees were measured with 14,116 individual measurements throughout all four inventories.
In spring 2018, an Airborne Laser Scan was carried out, covering the Uholka‐Shyrokyi Luh forest. This data set allows us to derive a high‐resolution digital elevation model (DEM) of the plot area.
The data set allows for important insights into the development and the spatial and temporal dynamics of primeval beech forests.

carpathian-biosphere-reserve

display_name: carpathian-biosphere-reserve

dem

display_name: dem

fagus-sylvatica

display_name: fagus-sylvatica

forest

display_name: forest

forest-dynamics

display_name: forest-dynamics

forest-structure

display_name: forest-structure

long-term-data-sets

display_name: long-term-data-sets

permanent-forest-plot-data

display_name: permanent-forest-plot-data

primeval-beech-forest

display_name: primeval-beech-forest

stand-inventory-data

display_name: stand-inventory-data

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Stand inventory data from the 10‐ha forest research plot in Uholka, Ukraine


en: laperouse environmental-dna indian-ocean marine fish-composition edna teleo coral-reef

en: Data access

en: Please use cyberduck to download for the moment

en:
Fish environmental DNA data set collected in the shallow seamount of La Pérouse located between Madagascar and Réunion Island

In 2019, we sampled the shallow seamount of La Pérouse, located between Madagascar and Réunion Island in the WIO. La Pérouse is an extinct volcano with a summit depth at 60 m below the sea surface. The plateau of the summit has a maximum length of 12 km and a maximum width of 4 km. One side of the seamount might have collapsed in the past, leading to a less common crescent-shaped summit. The abyssal plains that surround this isolated pinnacle are at a depth of 5000 m. Despite its proximity to Réunion Island (160 km northwest), La Pérouse and its surroundings are still poorly studied.
To sample eDNA in this location we used a submersible pump (Subspace, Geneva, Switzerland; nominal flow of ~ 1.0 L/min) to collect samples at various depths during close circuit rebreather dives. The pump has an internal battery and can be activated underwater allowing in situ filtration directly at the targeted habitat and depth. The filtration lasted for 30 min to collect a total water volume of ~ 30 L. During close circuit rebreather dives, water samples from various depths, ranging from 60 to 140 m below the sea surface, were collected using only the Submersible method (eight stations: no replicates). Out of the eight water samples, six were collected during the day, while two were collected at night (IS2_1 at 62 m and IS7_1 at 100–125 m). We applied this filtration protocols to collect and filter water throughout a VigiDNA® 0.2 μM cross-flow filtration capsule (SPYGEN, le Bourget du Lac, France) using disposable sterile tubing for each filtration capsule. After the filtration process, the remaining water in the capsules was emptied. The capsules were then filled with 80 ml of lysis conservation buffer (CL1 buffer SPYGEN, le Bourget du Lac, France) and stored at room temperature in the dark. At La Pérouse, a total of eight water samples were collected during the MONT LA PÉROUSE expedition (https://gombessa-expeditions.com/mont-la-perouse/) on board the ship La Curieuse to the seamount La Pérouse from October 27th to November 5th 2019. We followed a strict contamination control protocol in both field and laboratory stages. Each water sample processing included the use of disposable gloves and single-use filtration equipment to avoid any risk of contamination. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

coral-reef

display_name: coral-reef

edna

display_name: edna

environmental-dna

display_name: environmental-dna

fish-composition

display_name: fish-composition

indian-ocean

display_name: indian-ocean

laperouse

display_name: laperouse

marine

display_name: marine

teleo

display_name: teleo

en: Environmental DNA Marine France LaPerouse 2019


en: actinopterygii atlantic-ocean teleo-primers mitochondrial-dna barcoding 12s environmental-dna

en: This file contains the metadata associated with each 12 s mitochondrial sequence.

en:
Mitochondrial tree based on the 12s sequences obtained for altantic fish.
This data represent the maximum likelihood phylogenetic tree allowing to assess 1) the clustering of the different sequences generated in
this study and their closest sequences recovered through a MegaBLAST on GenBank, 2) the robustness of the clades and 3) the
phylogenetic dissimilarities through the branch length of the tree among the different sequences. This tree was built with IQtree2
using the best substitution model found by modelFinder. The robustness of the node was evaluated using 1000 ultra-fast bootstrap
(node information indicated on the right of the /) and SH-aLRT procedures (node information indicated on the left of the /), using a hillclimbing nearest neighbor interchange (NNI) search to reduce the risk of overestimating branch supports with ultra-fast Bootstrap
caused by too severe model violations.

en: This file contains the metadata associated with each scientific survey

en: This file contains the 12s mitochondrial sequences for the Atlantic fishes collected on a French scientific survey (Evhoe) for stock assessment.

en: This file contains the Teleo Barcode for the Atlantic fishes collected during a French scientific survey (Evhoe) for stock assessment.

en:
The global biodiversity crisis driven by anthropogenic pressures significantly threatens marine ecosystems functioning. The rate of climate change and the impacts of anthropogenic pressures outpacing the capabilities of our observation tools, stresses the need to develop new methods to assess these rapid modifications. Environmental DNA (eDNA; DNA traces released by organisms) metabarcoding has emerged as a non-invasive method that has been widely developed over the last decade. Thanks to a large spatio-temporal coverage, high detection of rare species and its time and cost effectiveness, eDNA metabarcoding represents a promising biomonitoring tool. However, capturing fish diversity using eDNA requires a high-quality genetic reference database, which we are currently still lacking. For the South European Atlantic shelf area, we estimated that only 41% of the fish species present were recorded in the available eDNA reference databases. Improving reference databases can notably rely on opportunistic sampling enabling the reporting of sequences for new species. Therefore, the data provided here consists of barcoding 95 species of ray-finned and cartilaginous fishes over the 12S mitochondrial DNA gene. We generated 168 12S barcodes from fishes that were sampled in the Bay of Biscay (Northeast Atlantic, France) between 2017 and 2019. We also provided the “Teleo” barcode associated with a specific 12S region for each individual. In addition to the sequences, we provided for each individual the taxonomy, the details associated with the barcode (Genbank accession number, chromatograms), a photograph, as well as 5 ecomorphological measures and 11 life-history traits. These traits document several functions such as dispersion, diet, habitat use, and position in the food web. Furthermore, we provided the metadata of each sampling site (date, station, sampling hour, gear, latitude, longitude, depth) and environmental variables measured in situ (conductivity, salinity, water temperature, water density, air temperature).
This data set is highly valuable to improve the Northeast Atlantic eDNA genetic database, thus helping to better understand the effects of environmental forcing in the Bay of Biscay, a transition zone housing mixed assemblages of boreal, temperate and subtropical fish species susceptible to display variability in functional traits to adapt to changing conditions.

actinopterygii

display_name: actinopterygii

atlantic-ocean

display_name: atlantic-ocean

barcoding

display_name: barcoding

mitochondrial-dna

display_name: mitochondrial-dna

teleo-primers

display_name: teleo-primers

en: ATLFISHREF A 12S mitochondrial reference dataset for metabarcoding Atlantic Fishes frequently caught during scientific surveys in the Bay of Biscay


bryophytes-of-europe-traits-bet-dataset

title_for_slug: bryophytes-of-europe-traits-bet-dataset

en: bioclimatic-variables hornworts iucn red-list indicator-values mosses liverworts life-history-traits

en: Excel file including the BET dataset and (trait) explanations.

en: Text file including the BET dataset.

en: PDF including the (trait) explanations.

en: The Bryophytes of Europe Traits (BET) dataset includes values for 65 biological and ecological traits and 25 bioclimatic variables for all 1816 bryophytes included in the European Red List (Hodgetts et al. 2019). The traits are compiled from several regional trait datasets and manually complemented using Floras, species-specific literature and expert knowledge. The bioclimatic variables are calculated using the European range of each species. Details regarding the trait compilation and extraction of bioclimatic variables can be found in the corresponding data paper (Van Zuijlen et al. 2023).

bioclimatic-variables

display_name: bioclimatic-variables

hornworts

display_name: hornworts

indicator-values

display_name: indicator-values

iucn

display_name: iucn

life-history-traits

display_name: life-history-traits

liverworts

display_name: liverworts

mosses

display_name: mosses

red-list

display_name: red-list

educ

en: Education, culture and sport


en: snow-cover boundary-layer-winds snow-depth saltation vertical-wind-motion

en: Data Compilation

en: Compressed TXT files

en:
The data correspond to the experiments presented and discussed in a paper regarding the interaction between turbulent wind fluctuations and snow saltation mass-fluxes (Paterna, 2016). Each of the nine data files corresponds to a different experiment presented in the paper and conducted in the winter 2014/2015 in the WSL/SLF cold wind tunnel in Davos. For each file the five columns indicate the time from the beginning of the experiment, the streamwise (u’) and the vertical (w’) wind velocity fluctuations, the streamwise (qx) and the vertical (qz) snow mass-flux components. From these time-series the scales of the snow saltation and of the turbulent flow are obtained with respect to the eddy-cycles and snow saltation cycles. From spectral analysis of the time-series a decoupling of the snow saltation from the turbulence forcing reveals two regimes of interaction: a turbulence-dependent regime occurring with weak saltation, and a turbulence-independent regime with strong saltation. Further details can be found at the link below.

Publication http://onlinelibrary.wiley.com/doi/10.1002/2016GL068171/abstract

boundary-layer-winds

display_name: boundary-layer-winds

saltation

display_name: saltation

snow-cover

display_name: snow-cover

snow-depth

display_name: snow-depth

vertical-wind-motion

display_name: vertical-wind-motion

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Wind tunnel measurement data of drifting snow and turbulent wind fluctuations


en: snow-height gemstock longwave-radiation shortwave-radiation meteo-station

en: DATA ACCESS

en:
Meteo data at Gemsstock [Level 2 dataset](http://models.slf.ch/p/dataset-processing/).

fields      = timestamp TSS HS VW DW VW_MAX OSWR ISWR ILWR RECORD AUX_VOLTAGE LOGGER_VOLTAGE LW_SENSOR_TEMP VENTILATION_FLAG OLWR

en:
Meteorological station at Gemstock (3021 m asl) in Canton Uri. The station includes in/out LW/SW and a snow height sensor.

Data from this station is managed by the permos.ch project. More information: https://www.permos.ch/permafrost-monitoring/field-sites

gemstock

display_name: gemstock

longwave-radiation

display_name: longwave-radiation

meteo-station

display_name: meteo-station

shortwave-radiation

display_name: shortwave-radiation

snow-height

display_name: snow-height

en: GEM2: Meteorological and snow station at Gemsstock (3021 m asl), Canton Uri, Switzerland


en: hydrology beech soil-water cryogenic-extraction oxygen-isotopes water-isotopes spruce critical-zone hydrogen-isotopes europe fagus-sylvatica xylem-water forest isotopes picea-abies ecohydrology

en: WATSON_Canopy_Pictures (individual JPG files)

en: All canopy pictures as individual files.

en: Dataset containing information about sample weights, cryogenic water extraction and the actual hydrogen and oxygen isotope data of the study.

en: All canopy pictures in one ZIP file.

en: Dataset containing the metadata of the sampling sites, including site-, soil-, tree-specific information.

en: Dataset containing the information on the canopy cover.

en: Here, we present a comprehensive isotope dataset of soil and stem xylem water collected during two pan-European sampling campaigns in spring and summer 2023. The dataset includes samples from 40 forest sites featuring beech (Fagus sylvatica), spruce (Picea abies), or mixed beech-spruce forests, and is supplemented with detailed site-specific, soil-specific, and tree-specific metadata. Samples and metadata were collected by various researchers across Europe following a standardized protocol. Soil samples were taken at up to five depths (ranging from 0 to 90 cm), and stem xylem samples were collected from three beech and/or spruce trees at each site. All samples were sent to a single laboratory for analysis, where water was extracted using cryogenic vacuum distillation and analyzed with an isotope laser spectrometer. Additionally, a subset of the samples underwent analysis with an isotope ratio mass spectrometer. The complete description of the data can be found in a publication in Earth System Science Data (in review).

beech

display_name: beech

critical-zone

display_name: critical-zone

cryogenic-extraction

display_name: cryogenic-extraction

ecohydrology

display_name: ecohydrology

europe

display_name: europe

fagus-sylvatica

display_name: fagus-sylvatica

forest

display_name: forest

hydrogen-isotopes

display_name: hydrogen-isotopes

hydrology

display_name: hydrology

isotopes

display_name: isotopes

oxygen-isotopes

display_name: oxygen-isotopes

picea-abies

display_name: picea-abies

soil-water

display_name: soil-water

spruce

display_name: spruce

water-isotopes

display_name: water-isotopes

xylem-water

display_name: xylem-water

en: Soil and stem xylem water isotope data from two pan-European sampling campaigns


en: hydrology snow cryosphere dischma modelling inarch

en: Dischma dataset - v20241219

en: The .zip file contains all data as described in this repository and associated publication. The .zip file contains a readme file describing its content in detail.

en:
This repository contains data from the alpine Dischma watershed and its surroundings in eastern Switzerland and includes: (a) hourly hydrometeorological data with 100m spatial resolution, (b) remotely sensed snow depth data with 100m spatial resolution obtained at peak of winter, and (c) station measurements of variables such as snow depth and catchment runoff.
This dataset is particularly suited for (a) different simulation experiments using distributed and process-based models, including physics-based snow and hydrological models, (b) testing various snow data assimilation schemes, and (c) developing models representing snow-forest interactions.
The dataset is described in detail in:
Magnusson, J., Bühler, Y., Quéno, L., Cluzet, B., Mazzotti, G., Webster, C., Mott, R., and Jonas, T.: High-resolution hydrometeorological and snow data for the Dischma catchment in Switzerland, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-374, in review, 2024.
This dataset was published within the INARCH project:
https://inarch.usask.ca/

cryosphere

display_name: cryosphere

dischma

display_name: dischma

inarch

display_name: inarch

modelling

display_name: modelling

snow

display_name: snow

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: A high-resolution snow and hydrometeorological dataset for the Dischma region in Switzerland


regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

label: geocat.ch permalink

fr: Le modèle numérique du terrain MNT25 est un jeu de données qui décrit la surface terrestre en trois dimensions. Il est conçu essentiellement à partir des informations d'altitude tirées de la Carte nationale 1:25'000 et 1:50'000 pour le périmètre élargi. Le modèle de base contient les informations altimétriques numériques suivantes: éléments linéaires: courbes de niveau et courbes des fonds des lacs vectorisées, contours des lacs vectorisés, lignes de crêtes principales en région alpine; éléments ponctuels:cotes d'altitude et cotes de fond des lacs numérisées. Le MNT25 ne fournit que les formes brutes de la surface terrestre, sans végétation ni construction.

de: Das digitale Höhenmodell DHM25 ist ein Datensatz, welcher die dreidimensionale Form der Erdoberfläche beschreibt. Er wurde aus der Höheninformation der Landeskarte 1:25'000 und 1:50'000 -nur für den erweiterten Perimeter- abgeleitet. Das Basismodell enthält die folgenden Elementen: lineare Elemente: vektorisierte Höhenkurven und Seebodenkurven, vektorisierte Seekonturen, Hauptbruchkanten im Alpengebiet; punktförmige Elemente:digitalisierte Höhenkoten und Seebodenkoten. Das DHM25 gibt die Form der rohen Erdoberfläche ohne Bewuchs und Bebauung wieder.

en: The digital height model DHM25 is a data set representing the three-dimensional form of the earth?s surface. It was derived from the height information of the Swiss National Map 1:25'000 and 1:50'000 -for the extended perimeter.The base model contains the following elements: linear elements: vectorized contours and contours in lakes, vectorized lake perimeters, primary breaklines; dot elements: digitized spot heights and depth spot heights in lakes. The DHM25 represents the topography of the earth's surface without vegetation or built up areas.

name: Bundesamt für Landestopografie swisstopo

fr: Office fédéral de topographie swisstopo

en: Federal Office of Topography swisstopo

it: Ufficio federale di topografia swisstopo

fr: Le centre de compétence de la Confédération suisse pour les informations géographiques, c'est-à-dire pour la description, la représentation et l’archivage de données à référence spatiale.

de: Das Kompetenzzentrum der Schweizerischen Eidgenossenschaft für Geoinformation, d.h. für die Beschreibung, Darstellung und Archivierung von raumbezogenen Geodaten.

en: The centre of competence for the Swiss Confederation responsible for geographical reference data, for instance the description, representation and archiving of geographic spatial data.

it: Il centro d’eccellenza della Confederazione Elvetica per geoinformazione, cioè per la descrizione, rappresentazione e archiviazione dei dati georeferenziati (geodati).

political_level: confederation

value: Swisstopo - Geocat Harvester

en: DHM25 basis model


label: Link zum Fachportal

fr: Map (Preview) Aperçu map.geo.admin.ch

de: Map (Preview) Vorschau map.geo.admin.ch

en: Map (Preview)  map.geo.admin.ch

it: Map (Preview) Previsione map.geo.admin.ch

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Service WMS-IFDG, couche "HUG / stations de mesure"

de: WMS-BGDI Dienst, Layer "HUG-Messstationen"

en: WMS-FSDI service, layer "HUG gauging stations"

it: Servizio WMS-IFDG, strato "Stazioni di misurazione HUG"

format: WMS

fr: Service WMTS-IFDG, couche , Layer "HUG / stations de mesure"

de: WMTS-BGDI Dienst, Layer "HUG-Messstationen"

en: WMTS-FSDI service, layer "HUG gauging stations"

it: Servizio WMTS-IFDG, strato "Stazioni di misurazione HUG"

format: WMTS

de: Link für Datenbezug

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

fr: Depuis 1957, la division Hydrologie de l'OFEV exploite un réseau de mesure des bassins de recherches hydrologiques dans le but d’observer les changements à long terme du régime hydrologique dans des bassins versants naturels de différentes zones climatiques de Suisse. Il dispose ainsi, pour près de 40 bassins versants, de la lame d'eau écoulée et il calcule pour la plupart de ces territoires les précipitations surfaciques mensuelles ou annuelles, ainsi que l'évaporation surfacique annuelle.

de: Seit 1957 betreibt die Abteilung Hydrologie ein Netz von hydrologischen Untersuchungsgebieten, mit dem Ziel, die langfristigen Veränderungen des Wasserhaushaltes in möglichst naturnahen Einzugsgebieten der unterschiedlichen Klimaregionen der Schweiz zu beobachten. Sie stellt daher für rund 40 Einzugsgebiete die natürlichen Abflusshöhen bereit und berechnet für viele dieser Gebiete die monatlichen bzw. jährlichen Gebietsniederschläge sowie die jährliche Gebietsverdunstung. Ausserdem stehen Einzugsgebietskenngrössen zur Morphometrie, Geologie/Hydrogeologie, Pedologie und Landnutzung zur Verfügung.

en: Since 1957 the hydrology division of the FOEN has operated a network of hydrological study areas aimed at observing long-term changes in the water regime within Switzerland’s most natural catchment areas and reflecting the scope of its wide-ranging climatic regions. Therefore, it covers the natural depth of runoff for about 40 catchment areas and calculates the monthly and annual area precipitation for many of these areas as well as their annual evaporation.

it: Dal 1957 la divisione idrologia dell'UFAM gestisce una rete di bacini di ricerche idrologiche con lo scopo di osservare i cambiamenti a lungo termine del regime delle acque nei bacini imbriferi possibilmente naturali e situati nelle diverse regioni climatiche della Svizzera. Il servizio rileva pertanto in circa 40 bacini imbriferi i dati relativi ai livelli di flusso naturale e calcola per molte di queste aree le precipitazioni medie mensili e annuali nonché l'evaporazione regionale.

spatial: Schweiz

name: Bundesamt für Umwelt / Abteilung Hydrologie

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

value: BAFU - Geocat Harvester

fr: Stations des bassins de recherches hydrologiques en Suisse

de: Messstationen der hydrologischen Untersuchungsgebiete

en: Gauging stations for hydrological study areas

it: Stazioni di misurazione dei bacini di ricerche idrologiche


hydrologische-untersuchungsgebiete

title_for_slug: hydrologische-untersuchungsgebiete

fr: Service WMS-IFDG, couche "HUG Bassins recherches hydro."

de: WMS-BGDI Dienst, Layer "HUG Hydro. Untersuchungsgebiete"

en: WMS-FSDI service, layer "HUG hydrological study areas"

it: Servizio WMS-IFDG, strato "Bacini di ricerche idrologiche HUG"

fr: Service WMTS-IFDG, couche , Layer "HUG Bassins recherches hydro."

de: WMTS-BGDI Dienst, Layer "HUG Hydro. Untersuchungsgebiete"

en: WMTS-FSDI service, layer "HUG hydrological study areas"

it: Servizio WMTS-IFDG, strato "Bacini di ricerche idrologiche HUG"

de: Hydrologische Untersuchungsgebiete

en: Hydrological study areas

it: Bacini di ricerche idrologiche


maintainer: Technischer Ansprechpartner (bitte im Vermerk angeben, dass es sich um die Schnittstelle mep401) handelt)

title_for_slug: Bei der Swissmedic registrierte Schweizer und Liechtensteiner Wirtschaftsakteure (Medizinprodukte)

name: Fachliche Ansprechpartner  (bitte im Vermerk angeben, dass es sich um die Schnittstelle mep401) handelt)

author: Schnittstellen-Team "Internet"

label: swissdamed: Suche nach Akteuren

fr: Swissdamed: Recherche d'acteurs

de: swissdamed: Suche nach Akteuren

en: swissdamed: Search for actors

it: swissdamed: Ricerca operatori

fr: Service swissdamed

en: Service swissdamed

de: Service swissdamed

it: Service swissdamed

fr: Base de données des opérateurs économiques enregistrés (ayant leur siège en Suisse ou dans la Principauté de Liechtenstein) conformément à l'art. 55, al. 1 ODim/art. 48, al. 1 OICM: liste de tous les fabricants, importateurs et mandataires suisses enregistrés, y compris les fabricants étrangers qui leur sont liés.

en: Database of registered economic operators (based in Switzerland or the Principality of Liechtenstein) in accordance with Art. 55 para. 1 MepV/Art. 48 para. 1 IvDV: Listing of all registered Swiss manufacturers, importers and authorised representatives, including their associated foreign manufacturers.

de: Datenbank der registrierten Wirtschaftsakteure (mit Sitz in der Schweiz oder im Fürstentum Liechtenstein) gemäss Art. 55 Abs. 1 MepV/ Art. 48 Abs. 1 IvDV: Auflistung aller registrierten Schweizer Hersteller, Importeure und Bevollmächtigten inkl. der mit ihnen verbundenen ausländischen Herstellern.

it: Banca dati degli operatori economici registrati (con sede in Svizzera o nel Principato del Liechtenstein) ai sensi dell'art. 55 cpv. 1 MedDO/art. 48 cpv. 1 IvDO: elenco di tutti i fabbricanti, importatori e mandatari svizzeri registrati, compresi i fabbricanti esteri associati.

fr: Opérateurs économiques enregistrés chez Swissmedic (Dispositifs médicaux)

en: Swiss and Liechtenstein economic operators registered at Swissmedic (Medical devices)

it: Operatori economici svizzeri e del liechtenstein registrati presso Swissmedic (Dispositivi medici)

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

swissmedic

fr: Swissmedic Institut suisse des produits thérapeutiques

en: Swissmedic Swiss Agency for Therapeutic Products

it: Swissmedic Istituto svizzero per gli agenti terapeutici

fr:
Swissmedic est l’autorité d’autorisation et de contrôle des produits thérapeutiques en Suisse. Les tâches de Swissmedic reposent sur le droit des produits thérapeutiques.

Contrairement aux médicaments, les dispositifs médicaux ne sont soumis à aucune autorisation officielle. Dans le secteur des dispositifs médicaux, Swissmedic a donc pour principale mission d’assurer une surveillance efficace du marché.

en:
Swissmedic is the Swiss authority responsible for the authorisation and supervision of therapeutic products. Swissmedic's activities are based on the Law on Therapeutic Products.

Unlike medicinal products, medical devices do not undergo an official authorisation procedure. Swissmedic's focus in the area of medical devices is thus on effective market surveillance.

de:
Arzneimittel dürfen in der Schweiz nur vertrieben werden, wenn sie vom Schweizerischen Heilmittelinstitut zugelassen sind. Swissmedic ist durch ihre Aufgaben in den Bereichen Bewilligung, Zulassung und Überwachung von Arzneimitteln in den gesamten Lebenszyklus eines Arzneimittels eingebunden.

Anders als Arzneimittel durchlaufen Medizinprodukte keine behördliche Zulassung. Der Schwerpunkt von Swissmedic im Bereich Medizinprodukte liegt somit in einer effizienten Marktüberwachung.

it:
Swissmedic è l’autorità centrale svizzera di omologazione e controllo per gli agenti terapeutici. L’attività di Swissmedic si basa sul diritto degli agenti terapeutici.

Diversamente dai medicamenti, i dispositivi medici non sono sottoposti ad alcuna omologazione ufficiale. L’attività di Swissmedic nel campo dei dispositivi medici si concentra quindi sulla sorveglianza efficiente del mercato.


regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Fischereireviere mit Reviernummer und -namen.

spatial: Kanton Luzern

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

fr: La géoinformation du canton de Lucerne est responsable de la collecte, du traitement et de la gestion des données à référence spatiale. Elle dirige, coordonne et surveille les travaux de la géoinformation et de la mensuration officielle.

en: Geoinformation of the Canton of Lucerne is responsible for the collection, processing and management of spatial data. It manages, coordinates and monitors the work of geoinformation and of the cadastral surveying.

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

it: La Geoinformation del Cantone di Lucerna è responsabile della raccolta, dell'elaborazione e della gestione dei dati territoriali. Gestisce, coordina e monitora il lavoro della geoinformazione e della misurazione ufficiale.

political_level: canton

value: LU-Kt - Geocat Harvester

de: Fischereireviere


envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

de: AGIS Direktdownload

de: Planungszonen

de: Planungszonen sind Gebiete, in denen ein vorsorgliche Bauverbot gilt. Müssen Nutzungspläne angepasst werden oder liegen keine vor, so kann die zuständige Behörde für genau bezeichnete Gebiete Planungszonen bestimmen. Innerhalb der Planungszonen darf nichts unternommen werden, was die Nutzungsplanung erschweren könnte. Planungszonen sind auf maximal 5 Jahre befristet.

de: AGIS Service Center Kanton Aargau

de: Das AGIS Service Center unterstützt als kantonale Koordinationsstelle die Bereitstellung von Geoinformationen und Metadaten der kantonalen Verwaltung. Die zuständigen kantonalen Fachstellen stellen die öffentlichen Geodaten des Kantons Aargau mittels der Infrastruktur des AGIS Service Center in der Informatik Aargau als Webservices und zum Download bereit.

value: Aargau-Kt - Geocat Harvester


strassenunterhaltsbezirke

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

title_for_slug: strassenunterhaltsbezirke

fr: geodonnees entretien-routier

de: geodaten strassenunterhaltung

en: geodata road-maintenance

it: geodati manutenzione-stradale

de: Strassenunterhaltsbezirke

format: WFS

de: ThurGIS Shop

de: Unterhaltsbezirke, Grenzen entlang des Kantonsstrassennetzes. Darstellung der vier Werkhöfe und des Stützpunktes.

spatial: Kanton Thurgau (TG)

kanton-thurgau

fr: Canton de Thurgovie

de: Kanton Thurgau

en: Canton of Thurgau

it: Cantone di Turgovia

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

value: TG-Kt - Geocat Harvester


ov-haltestellen

regi

de: Regionen und Städte

title_for_slug: ov-haltestellen

de: bus poi tram ov offentlicher-verkehr

fr: Map (Preview)

de: Map (Preview) Stadtplan

en: Map (Preview)

it: Map (Preview)

de: Link zum Thema im Internet-Stadtplan der Stadt Bern

de: WMS Haltestellen

de: Web Map Services WMS

de: WFS Haltestellen

de: Web Feature Services WFS

de: Standorte Tram- und Bushaltestellen sowie Drahtseilbahnstationen in der Stadt Bern und Agglomeration.

spatial: Agglomeration Bern

geoinformation-der-stadt-bern

fr: L’Office du cadastre de la ville de Berne

de: Geoinformation Stadt Bern

en: The Land Surveying Office of the City of Bern

it: L'ufficio del catasto nella Città di Berna

fr: L’Office du cadastre (Geoinformation Stadt Bern) est l’organisme compétent pour la collecte, l’accès et la diffusion d’informations géographiques dans la ville de Berne.

de: Geoinformation Stadt Bern (ehemals Vermessungsamt) ist die Kompetenzstelle für die Beschaffung, den Zugang und die Verbreitung von Geoinformationen in der Stadt Bern.

en: The Surveying Office (Geoinformation Stadt Bern) is the centre of competence in the City of Bern for the procurement of, access to and dissemination of geographic information.

it: L'ufficio del catasto (Geoinformation Stadt Bern) è il centro di competenza per il reperimento, l'accesso e la diffusione di geoinformazioni nella Città di Berna.

political_level: commune

value: Geoinformation Stadt Bern - Geocat Harvester

de: ÖV-Haltestellen


parkanlagen

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

educ

de: Bildung, Kultur und Sport

title_for_slug: parkanlagen

de: grunanlage grunflache park parkanlage

de: WMS Parkanlagen

de: WFS Parkanlagen

de: Standorte von Parkanlagen in der Stadt Bern.

spatial: Stadt Bern

de: Parkanlagen


stand-elektronischer-umzug-eumzug

educ

fr: Éducation, culture et sport

en: Education, culture and sport

it: Istruzione, cultura e sport

regi

de: Regionen und Städte

title_for_slug: stand-elektronischer-umzug-eumzug

fr: Lien vers le téléchargement de données (Zip)

de: Link zum Daten-Download (Zip)

fr: eDéménagementBE permet d’annoncer par voie électronique les arrivées et les départs dans la commune de domicile (numérisation). Plus besoin de se rendre au guichet de la commune de domicile pour annoncer son déménagement, pour autant que celle-ci participe à eDéménagement. Ce géoproduit montre la participation des communes à eDéménagement dans le canton de Berne.

de: eUmzugBE ermöglicht die elektronische An- und Abmeldung bei der Wohngemeinde (Digitalisierung). Dadurch entfällt der Gang zum Schalter der Wohngemeinde, sofern die Gemeinde am eUmzug teilnimmt. Mit diesem Geoprodukt wird die Teilnahme der Gemeinden an eUmzug im Kanton Bern aufgezeigt.

spatial: Kanton Bern

fr: Office de l'information géographique du canton de Berne

de: Amt für Geoinformation des Kantons Bern

fr: L'Office de la géoinformation est le centre de compétence pour l'information spatiale dans le canton de Berne. Les géodonnées cantonales peuvent être utilisées gratuitement, sous réserve des conditions d'utilisation. Le Géoportail du canton de Berne est le point d'entrée central pour les cartes interactives, les géodonnées et les géoservices de l'administration cantonale.

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

value: Bern-Kt - Geocat Harvester

fr: Stade déménagement électronique (eDéménagement)

de: Stand elektronischer Umzug (eUmzug)


planungszonen

regi

fr: Régions et villes

envi

de: Umwelt

title_for_slug: planungszonen

fr: document amenagement-du-territoire amenagement-du-territoire tableau-des-valeurs

de: dokument flachennutzungsplanung raumordnung-und--planung wertetabelle

fr: L'article 27 de la loi fédérale du 22 juin 1979 sur l'aménagement du territoire (LAT; RS 700) donne aux cantons la possibilité de prévoir des zones réservées, que l'on définit comme un territoire pour lequel un plan d'affectation doit être édicté ou modifié. Dans un périmètre relevant d'une telle zone, toute entreprise susceptible de contrecarrer le plan d'affectation (futur) est proscrite. Edictée par une autorité (commune, conférence régionale ou canton), une zone réservée a force obligatoire pour deux ans dès sa publication officielle (art. 62a, al. 1 et 62, al. 3 de la loi du 9 juin 1985 sur les constructions, LC; RSB 721.0). Elle peut être prolongée une fois de trois ans au maximum (durée de validité maximale de 5 ans), à condition que sa prolongation soit publiée par l'autorité qui l'a édictée, et ce avant le terme du délai initial de deux ans. Le thème du cadastre RDPPF suivant se trouve dans le géoproduit PLANZONE: Zones réservées (OGéo ID 76)

de: Art. 27 des Bundesgesetzes vom 22. Juni 1979 über die Raumplanung (Raumplanungsgesetz, RPG; SR 700) gibt den Kantonen die Möglichkeit, Planungszonen zu schaffen. Eine Planungszone steht für ein Gebiet, in dem Nutzungspläne erlassen oder geändert werden sollen. In einem mit einer Planungszone bezeichnetem Gebiet darf nichts unternommen werden, das die zukünftige Nutzungsplanung erschweren würde. Die Planungszone wird von einer Behörde (Gemeinde, Regionalkonferenz, Kanton) erlassen und ist sofort mit deren öffentlichen Bekanntmachung für zwei Jahre rechtswirksam (Art. 62a Abs. 1 und Art. 62 Abs. 3 Baugesetz, BauG; BSG 721.0). Eine Planungszone kann einmal um maximal drei Jahre auf insgesamt fünf Jahre verlängert werden. Dazu muss die Verlängerung der Planungszone von der Behörde, welche die Planungszone erlassen hat, vor Ablauf der zweijährigen Frist publiziert werden. Folgendes ÖREB-Katasterthema ist in diesem Geoprodukt PLANZONE enthalten: Planungszonen (GeoIV ID 76)

spatial: Kanton Bern (reduziert)

fr: Zones réservées

de: Planungszonen


envi

fr: Environnement

fr: etablissement-humain batiment climat vegetation trafic eaux-geographie ensemble-residentiel-urbain plan-doccupation-des-sols planification

de: siedlung gebaude klima vegetation verkehr gewasser stadtische-siedlung flachennutzungsplan planung

fr: Les CIP proposent une évaluation exhaustive des paramètres climatiques modélisés en vue du traitement de questions de planification. Une distinction est opérée entre la situation diurne et nocturne. Durant la journée, l'évaluation porte sur la qualité de séjour dans les espaces verts et urbains. Cette qualité dépendant surtout du rayonnement solaire, la situation est généralement meilleure dans les zones très arborisées. Durant la nuit, l'évaluation étudie la charge thermique dans les espaces urbains et l'exposition de ces derniers aux courants d'air froid générant une compensation climatique. La zone d'étude couverte par les CIP est subdivisée en espaces urbains soumis à des charges bioclimatiques (zone d'impact) et en espaces non bâtis recouverts de végétation et produisant de l'air froid (zones de compensation). Dans les cas où ces espaces ne se jouxtent pas directement mais que les processus d'échange d'air sont suffisamment marqués, des espaces ouverts linéaires et peu bâtis (couloirs d'air), notamment, peuvent les relier entre eux. Par ailleurs, des vents catabatiques balaient les reliefs bernois. La délimitation entre espaces protégés et défavorisés ainsi que les structures reliant ces espaces reflètent la complexité du système d'échange d'air induisant l'intrication entre zones de compensation et zones d'impact dans le canton de Berne. La CIP donne des indications sur la sensibilité d'un espace aux changements d'affectation ou au développement urbanistique dont découlent les exigences de planification et les mesures d'aménagement du territoire justifiées au plan climatique.

de: Die Planungshinweiskarten (PHK) stellen eine integrierende Bewertung der modellierten Klimaparameter im Hinblick auf planungsrelevante Belange dar. Dabei wird zwischen Tag- und Nachtsituation unterschieden. Am Tage wird die Aufenthaltsqualität in den Grün- und Siedlungsflächen bewertet. Diese wird vor allem über die Sonneneinstrahlung beeinflusst, so dass in Bereichen mit hohem Baumanteil meist auch eine günstige Situation vorliegt. In der Nachtsituation stehen dagegen die Wärmebelastung der Siedlungsflächen sowie die Versorgung mit klimatisch ausgleichenden Kaltluftströmungen im Vordergrund. Ausgangspunkt der PHK ist die Gliederung des Untersuchungsraumes in bioklimatisch belastete Siedlungsräume (Wirkungsraum) einerseits und Kaltluft produzierende, unbebaute und vegetationsgeprägte Flächen andererseits (Ausgleichsräume). Sofern diese Räume nicht unmittelbar aneinandergrenzen und die Luftaustauschprozesse stark genug ausgeprägt sind, können vor allem linear ausgerichtete, gering überbaute Freiflächen (Luftleitbahnen) beide miteinander verbinden. Darüber hinaus treten im Kantonsgebiet vor allem flächendeckende Hangabwinde auf. Aus der Abgrenzung von Gunst- und Ungunsträumen sowie der verbindenden Strukturen ergibt sich somit ein komplexes Bild vom Prozesssystem der Luftaustauschströmungen des Ausgleichsraum-Wirkungsraum-Gefüges innerhalb des Kantonsgebietes. Die Planhinweiskarte gibt Auskunft über die Empfindlichkeit gegenüber Nutzungsänderungen bzw. baulichen ENtwicklungen, aus denen sich klimatisch begründete Anforderungen und Massnahmen im Rahmen der räumlichen Planung ableiten lassen.

fr: Carte indicative de planification (CIP) relative au modèle climatique cantonal

de: Planungshinweiskarte zum kantonalen Klimamodell (PHK)


wildraume-des-kantons-bern

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

title_for_slug: wildraume-des-kantons-bern

de: wild wildtier wertetabelle

fr: Les zones de gestion du gibier sont des périmètres délimités sur la base de considérations relatives à la biologie de la faune sauvage et de données géographiques en vue de la gestion du gibier à grande échelle (art. 1, al. 2 de l'ordonnance du 26.02.2003; RSB 922.111, OCh).

de: Wildräume sind Perimeter, die auf Grund von wildbiologischen Gesichtspunkten sowie geografischen Gegebenheiten für die grossräumige Wildbewirtschaftung ausgeschieden worden sind (Art. 1, Abs. 2 der Jagdverordnung vom 26.02.2003; BSG 922.11, JaV).

name: Amt für Landwirtschaft und Natur - Jagdinspektorat

fr: Zones de gibier du canton de Berne

de: Wildräume des Kantons Bern


regi

de: Regionen und Städte

fr: charge-de-polluant cadastre dechets tableau-des-valeurs

de: schadstoffbelastung kataster abfall wertetabelle

fr: Thème du cadastre RDPPF Le cadastre des sites pollués du canton de Berne représente des surfaces servant ou ayant servi de sites de stockage de déchets (décharges) ou d'aires d'exploitation pour des entreprises artisanales ou industrielles. Le cadastre tient également compte des lieux d'accidents ayant impliqué des produits chimiques ou des hydrocarbures, ainsi que des buttes pare-balles des stands de tir. Le cadastre sera un instrument en perpétuelle évolution, mis à jour en fonction des données les plus actuelles. La carte montre seulement les sites dont on est sûr qu'ils doivent y figurer. En revanche, le fait qu'une parcelle ne figure pas dans le cadastre n'est pas une garantie que le site ne présente pas de pollution. Le thème du cadastre RDPPF suivant se trouve dans le géoproduit BALISKBS : - Cadastre des sites pollués (OGéo ID 116) Cadastre RDPPF (<https://www.agi.dij.be.ch/fr/start/kataster/oereb-kataster.html>)

de: ÖREB-Katasterthema Der Kataster der belasteten Standorte stellt die mit Schadstoffen belasteten Flächen in einer Karte dar. Dies sind ehemalige Ablagerungsstandorte (Deponien), Betriebsstandorte (Fabriken, Industrieareale), Unfallstandorte und Schiessanlagen. Der Kataster der belasteten Standorte ist dynamisch und wird laufend angepasst! In der Karte sind nur jene Standorte aufgeführt, welche bereits definitiv in den Kataster der belasteten Standorte eingetragen wurden. Die Angabe, dass ein Grundstück nicht im Kataster der belasteten Standorte eingetragen ist, bietet keine Gewähr dafür, dass auch effektiv keine Belastung vorliegt! Folgendes ÖREB-Katasterthema ist in diesem Geoprodukt BALISKBS enthalten: - Kataster der belasteten Standorte (GeoIV ID 116) ÖREB-Kataster (<https://www.agi.dij.be.ch/de/start/kataster/oereb-kataster.html>)

spatial: Kanton Bern (erweitert)

name: Amt für Wasser und Abfall - Betriebe und Abfall / Grundwasser

fr: Cadastre des sites pollués (CSP)

de: Kataster der belasteten Standorte (KBS)


naturereigniskataster-light

title_for_slug: naturereigniskataster-light

fr: risque-naturel avalanche inondation tableau-des-valeurs

de: naturgefahr lawine uberschwemmung wertetabelle

fr: Lien vers le téléchargement de données (Zip)

de: Link zum Daten-Download (Zip)

fr: Le fichier se compose de la limite périphérique entourant l'ensemble de tous les événements connus liés à des dangers naturels, subdivisé en processus principaux avalanche, glissement, chute ou éboulement, crue/inondation/lave torrentielle et doline. Contrairement à la version complète (géoproduit NGKAT), cette version simplifié ne contient que les informations de base les plus importantes, mais elle est plus claire. Les détails des événements individuels, tels que les valeurs caractéristiques, les dommages, la météo, etc. peuvent être extraits du cadastre des événements naturels (version complète) au moyen du numéro StorMe.

de: Der Datensatz umfasst die umhüllende Fläche aller bisher bekannten Naturgefahrenereignisse, unterteilt in die Prozessgruppen Lawine, Rutschung, Sturz, Wasser/Murgang und Doline. Die Light-Version beinhaltet im Vergleich zur Vollversion (Geoprodukt NGKAT) lediglich die wichtigsten Basis-Informationen, ist dafür jedoch übersichtlicher. Details einzelner Ereignisse, wie beispielsweise Kennwerte, Schäden, Meteo, etc. können mittels StorMe-Nummer dem Naturereigniskataster (Vollversion) entnommen werden.

fr: Office de l'information géographique du canton de Berne

de: Amt für Geoinformation des Kantons Bern

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

fr: Cadastre des événements naturels simplifié

de: Naturereigniskataster light


regi

fr: Régions et villes

de: betriebe biodiversitat bodennutzung grundbuch grundeigentum landwirtschaft landwirtschaftliche-nutzung okologische-vernetzung topographie wirtschaftliche-aktivitaten

de: Datenshop

de: Produktansicht Geodatenshop

de: Daten zu Landwirtschaftbetrieben und Bewirtschaftungseinheiten, Rebbaukataster (Perimeter Terrassenreben), Landwirtschaftliche Nutzungsflächen (LN), Perimeter LN und Sömmerungsflächen (inkl. Bundesdaten)

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

fr: La géoinformation du canton de Lucerne est responsable de la collecte, du traitement et de la gestion des données à référence spatiale. Elle dirige, coordonne et surveille les travaux de la géoinformation et de la mensuration officielle.

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

de: Landwirtschaftliche Bewirtschaftung


agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

de: Regionen und Städte

de: bodennutzung landwirtschaft landwirtschaftliche-nutzung wirtschaftliche-aktivitaten

de: Perimeter der landwirtschaftlichen Nutzflächen und Sömmerungsflächen

de: Landw. Bewirtschaftung: Perimeter landwirtschaftliche Nutzflächen (LN) und Sömmerungsflächen


zonenplan-kanton-schaffhausen

envi

fr: Environnement

de: Umwelt

title_for_slug: zonenplan-kanton-schaffhausen

fr: raumplanung zonenplan nutzungsplanung

de: raumplanung zonenplan nutzungsplanung

en: raumplanung zonenplan nutzungsplanung

it: raumplanung zonenplan nutzungsplanung

label: Kanton Schaffhausen

fr: SH Datenmodell (INTERLIS, GeoPackage, DXF, Shapefile)

fr: CH Datenmodell, geodienste.ch

de: CH Datenmodell, geodienste.ch

en: CH Datenmodell, geodienste.ch

it: CH Datenmodell, geodienste.ch

fr: Kanton Schaffhausen

de: Kanton Schaffhausen

en: Kanton Schaffhausen

it: Kanton Schaffhausen

fr: CH Datenmodell, geodienste.ch (INTERLIS, GeoPackage, Shapefile)

fr: Gemeindeweise Geodatensätze der Zonenpläne der Gemeinden (Massstab meistens 1:5'000). Umfasst die Ebenen Grundnutzungszonen und überlagernde Zonen, sowie im weiteren Sinne auch Zonenplangrenzen. Die grundeigentümerverbindliche Festsetzung der Nutzung des Bodens ist Aufgabe der Gemeinde. Die Nutzungsplanung besteht aus Zonenplan und Bauvorschriften (Bauordnung). Auskünfte über die Nutzungsplanung erteilen die Gemeinden. Grundlagen: Zu den ständigen Aufgaben der Raumplanung gehört die Beobachtung der Raumentwicklung. Dazu gehören u.v.a. Informationen über: - den Stand der Erschliessung der Bauzonen - Stand der Überbauung in den Bauzonen - Bauten ausserhalb der Bauzonen - Fruchtfolgeflächen - Änderung von Infrastrukturen (Strasse, Schiene, Versorgung, Entsorgung, öffentl. Bauten usw.) - Schutzobjekte und -zonen. Für die Nachführung des Grundlagen-Inhaltes sind die jeweiligen Fachstellen zuständig.

amt-geoinformation-kanton-schaffhausen

fr: Office de la géoinformation du canton de Schaffhouse

de: Amt für Geoinformation Kanton Schaffhausen

en: Office for Geoinformation Canton Schaffhausen

it: Ufficio di geoinformazione del Cantone di Sciaffusa

fr: L'Office de la géoinformation gère et publie les géodonnées du canton de Schaffhouse sous forme de géoservices OGC et de fichiers à télécharger. Toutes les géodonnées actuellement disponibles et soumises à l'OGD sont listées ici.

en: The Office of Geoinformation manages and publishes the geodata of the Canton of Schaffhausen as OGC geodata services and as file downloads. All currently available geodata subject to OGD are listed here.

de: Das Amt für Geoinformation verwaltet und veröffentlicht die Geodaten des Kantons Schaffhausen als OGC-Geodienste und als Datei-Download. Alle aktuell verfügbaren Geodaten, welche dem OGD unterliegen, sind hier aufgeführt.

it: L'Ufficio di geoinformazione gestisce e pubblica i geodati del Cantone di Sciaffusa come geoservizi OGC e come file da scaricare. Tutti i geodati attualmente disponibili soggetti all'OGD sono elencati qui.

value: Amt für Geoinformation Kt. SH – Geocat Harvester


belastete-standorte-kbs

regi

en: Regions and cities

it: Regioni e città

title_for_slug: belastete-standorte-kbs

de: AGIS Direktdownload

de: Belastete Standorte (KBS)

de: Der Kataster der belasteten Standorte beinhaltet Standorte, welche mit grosser Wahrscheinlichkeit mit Abfällen belastet sind. Dieser Datensatz löst seit dem 19.9.2019 den Datensatz afu_kbsbelstx ab.

de: AGIS Service Center Kanton Aargau

de: Das AGIS Service Center unterstützt als kantonale Koordinationsstelle die Bereitstellung von Geoinformationen und Metadaten der kantonalen Verwaltung. Die zuständigen kantonalen Fachstellen stellen die öffentlichen Geodaten des Kantons Aargau mittels der Infrastruktur des AGIS Service Center in der Informatik Aargau als Webservices und zum Download bereit.


sew-atb-abwasser-knoten-ausser-betrieb

title_for_slug: sew-atb-abwasser-knoten-ausser-betrieb

de: Der Datensatz beinhaltet die ausser Betrieb stehenden Punktelemente mit Informationen zu Abwasserleitungen, die nicht Bauwerken oder Normschächten zugeordnet werden können. Der Umfang beschränkt sich auf die Elemente im Eigentum des Kantons Aargau.

de: SEW: ATB Netzknoten ausser Betrieb


sew-atb-abwasser-knoten

regi

de: Regionen und Städte

title_for_slug: sew-atb-abwasser-knoten

de: SEW: ATB Netzknoten

de: Der Datensatz beinhaltet die in Betrieb oder unbekannt Punktelemente mit Informationen zu Abwasserleitungen, die nicht Bauwerken oder Normschächten zugeordnet werden können. Der Umfang beschränkt sich auf die Elemente im Eigentum des Kantons Aargau.


sew-atb-abwasser-pendenzen

title_for_slug: sew-atb-abwasser-pendenzen

de: SEW: ATB Pendenzen

de: Der Datensatz beinhaltet die räumliche Abgrenzung von Pendenzen im Strassenentwässerungskataster der Kantonsstrassen.


sew-atb-abwasser-schacht

envi

de: Umwelt

title_for_slug: sew-atb-abwasser-schacht

de: SEW: ATB Schacht

de: Der Datensatz beinhaltet die in Betrieb stehenden oder unbekannten Normschächte (inkl. Strassenabläufe) der Kantonsstrassenentwässerung sowie der Transportleitungen bis zur ARA oder in den Vorfluter. Der Umfang beschränkt sich auf die Elemente im Eigentum des Kantons Aargau.


sew-atb-abwasser-schacht-ausser-betrieb

title_for_slug: sew-atb-abwasser-schacht-ausser-betrieb

de: Der Datensatz beinhaltet die ausser Betrieb stehenden Normaschächte (inkl. Strassenabläufe) der Kantonsstrassenentwässerung sowie der Transportleitungen bis zur ARA oder in den Vorfluter. Der Umfang beschränkt sich auf die Elemente im Eigentum des Kantons Aargau.

de: SEW: ATB Schacht ausser Betrieb


educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

fr: chauffage-solaire chauffage-a-distance energie chauffage eau-chaude

de: solarheizung fernheizung energie heizung warmwasser

fr: Accès aux données (fr) : téléchargement et services web (Géoportail cantonal)

fr: Datenzugriff (de): Download und Webservices (Kantonales Geoportal)

fr: Statistiques communales des systèmes de chauffage utilisés pour le chauffage et la production d'eau chaude sanitaire des bâtiments. Le système de chauffage (respectivement le système de production de l'eau chaude) est déduit à partir du générateur de chaleur N°1 et de la source d’énergie / de chaleur N°1 du chauffage (respectivement de l'eau chaude) des données énergétiques du RegBL.

de: Daten zu den Systemen, die für die Raumheizung und Warmwassererzeugung der Gebäude verwendet werden. Das Heizsystem wird vom Hauptwärmeerzeuger Heizung und seiner Hauptenergie-/Wärmequelle abgeleitet. Die entsprechenden Informationen stammen aus den Energiedaten des GWR. Verschiedene weitere Daten zur Energie und zu den Gebäuden befinden sich in der Attributtabelle zu dieser Ebene.

spatial: Canton de Fribourg (FR)

fr: Geoinformation Canton Fribourg

de: Geoinformation Kanton Freiburg

en: Geoinformation Canton Fribourg

it: Geoinformazione Canton Friburgo

fr: Les géodonnées publiques du Canton Fribourg sont gérées par le Centre de compétence SIT du Service de la géoinformation SGéo et mises à disposition sous forme de services web et de téléchargement via le géoportail cantonal.

en: The public geodata of the Canton of Fribourg are managed by the GIS Competence Center of the Geoinformation Office GeoA and made available as web services and for download via the cantonal geoportal.

de: Die öffentlichen Geodaten des Kantons Freiburg werden durch das GIS-Kompetenzzentrum des Amtes für Geoinformation GeoA verwaltet und über das kantonale Geoportal als Webservices und zum Download bereitgestellt.

it: I geodati pubblici del Cantone di Friburgo sono gestiti dal Centro di Competenza GIS dell'Ufficio di Geoinformazione GeoA e resi disponibili come servizi web e per il download attraverso il geoportale cantonale.

value: Fribourg-Kt - Geocat Harvester

fr: Statistiques communales des systèmes de chauffage du bâtiment et de l'eau chaude sanitaire (Fribourg)

de: Kommunale Statistiken über Gebäudeheizungen und Warmwasser (Freiburg)